Publications

2019

A nonparametric method for producing isolines of bivariate exceedance probabilities

D. Cooley; E. Thibaud; F. Castillo; M. F. Wehner 

Extremes. 2019-09-01. Vol. 22, num. 3, p. 373-390. DOI : 10.1007/s10687-019-00348-0.

Fitting Markovian binary trees using global and individual demographic data

S. Hautphenne; M. Massaro; K. Turner 

Theoretical Population Biology. 2019-08-01. Vol. 128, p. 39-50. DOI : 10.1016/j.tpb.2019.04.007.

The time-dependent expected reward and deviation matrix of a finite QBD process

S. Dendievel; S. Hautphenne; G. Latouche; P. G. Taylor 

Linear Algebra And Its Applications. 2019-06-01. Vol. 570, p. 61-92. DOI : 10.1016/j.laa.2019.02.002.

Spatial Risk Measures and Rate of Spatial Diversification

E. Koch 

Risks. 2019-05-02. Vol. 7, num. 2, p. 52. DOI : 10.3390/risks7020052.

A pathwise approach to the extinction of branching processes with countably many types

P. Braunsteins; G. Decrouez; S. Hautphenne 

Stochastic Processes And Their Applications. 2019-03-01. Vol. 129, num. 3, p. 713-739. DOI : 10.1016/j.spa.2018.03.013.

Extremal behaviour of aggregated data with an application to downscaling

S. Engelke; R. De Fondeville; M. Oesting 

Biometrika. 2019-03-01. Vol. 106, num. 1, p. 127-144. DOI : 10.1093/biomet/asy052.

Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism

A. Valsesia; Q-P. Wang; N. Gheldof; J. Carayol; H. Ruffieux et al. 

Nature Communications. 2019-02-01. Vol. 10, p. 540. DOI : 10.1038/s41467-019-08492-8.

Towards X-ray transient grating spectroscopy

C. Svetina; R. Mankowsky; G. Knopp; F. Koch; G. Seniutinas et al. 

Optics Letters. 2019-02-01. Vol. 44, num. 3, p. 574-577. DOI : 10.1364/OL.44.000574.

Contributions to Likelihood-Based Modelling of Extreme Values

L. Raymond-Belzile / A. C. Davison (Dir.)  

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9685.

Automatic L2 Regularization for Multiple Generalized Additive Models

Y. El Bachir / A. C. Davison (Dir.)  

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9393.

Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data

H. Ruffieux / A. C. Davison; J. Hager (Dir.)  

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9139.

2018

Dependence properties of spatial rainfall extremes and areal reduction factors

P. D. Le; A. C. Davison; S. Engelke; M. Leonard; S. Westra 

Journal Of Hydrology. 2018-10-01. Vol. 565, p. 711-719. DOI : 10.1016/j.jhydrol.2018.08.061.

'The life of man, solitary, poore, nasty, brutish, and short': Discussion of the paper by Rootzen and Zholud

A. C. Davison 

Extremes. 2018-09-01. Vol. 21, num. 3, p. 365-372. DOI : 10.1007/s10687-018-0329-5.

High-dimensional peaks-over-threshold inference

R. de Fondeville; A. C. Davison 

Biometrika. 2018-09-01. Vol. 105, num. 3, p. 575-592. DOI : 10.1093/biomet/asy026.

Functional Peaks-Over-Threshold Analysis for Complex Extreme Events

R. G. T. M. M. de Deloÿe et Fourcade de Fondeville / A. C. Davison (Dir.)  

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-8927.

Optimal regionalization of extreme value distributions for flood estimation

P. Asadi; S. Engelke; A. Davison 

JOURNAL OF HYDROLOGY. 2018. Vol. 556, p. 182-193. DOI : 10.1016/j.jhydrol.2017.10.051.

Automatic module selection from several microarray gene expression studies

A. Zollinger; A. Davison; D. Goldstein 

BIOSTATISTICS. 2018. Vol. 19, num. 2, p. 153-168. DOI : 10.1093/biostatistics/kxx032.

Semiparametric Bayesian Risk Estimation for Complex Extremes

T. Lugrin / A. C. Davison; J. A. Tawn (Dir.)  

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-8349.

2017

Robust Bounds In Multivariate Extremes

S. Engelke; J. Ivanovs 

Annals Of Applied Probability. 2017. Vol. 27, num. 6, p. 3706-3734. DOI : 10.1214/17-Aap1294.

Efficient inference for genetic association studies with multiple outcomes

H. Ruffieux; A. C. Davison; J. Hager; I. Irincheeva 

Biostatistics. 2017. Vol. 18, num. 4, p. 618-636. DOI : 10.1093/biostatistics/kxx007.

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

R. Huser; T. Opitz; E. Thibaud 

Spatial Statistics. 2017. Vol. 21, p. 166-186. DOI : 10.1016/j.spasta.2017.06.004.

Extremal attractors of Liouville copulas

L. R. Belzile; J. G. Nešlehová 

Journal of Multivariate Analysis. 2017. Vol. 160, p. 68-92. DOI : 10.1016/j.jmva.2017.05.008.

Generalized Pickands constants and stationary max-stable processes

K. Debicki; S. Engelke; E. Hashorva 

Extremes. 2017. Vol. 20, num. 3, p. 493-517. DOI : 10.1007/s10687-017-0289-1.

A Functional Framework for Enhanced Ultrasound Imaging

L. Roquette 

2017.

Quasi-random numbers for copula models

M. Cambou; M. Hofert; C. Lemieux 

Statistics And Computing. 2017. Vol. 27, num. 5, p. 1307-1329. DOI : 10.1007/s11222-016-9688-4.

Contributions to Modelling Extremes of Spatial Data

L. Frossard / A. C. Davison (Dir.)  

Lausanne: EPFL, 2017. DOI : 10.5075/epfl-thesis-7479.

Modelling across extremal dependence classes

J. L. Wadsworth; J. A. Tawn; A. C. Davison; D. M. Elton 

Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2017. Vol. 79, num. 1, p. 149-175. DOI : 10.1111/rssb.12157.

2016

ODE parameter estimation through a runner's model application

L. Roquette 

2016.

Bayesian Inference For The Brown-Resnick Process, With An Application To Extreme Low Temperatures

E. Thibaud; J. Aalto; D. S. Cooley; A. C. Davison; J. Heikkinen 

Annals of Applied Statistics. 2016. Vol. 10, num. 4, p. 2303-2324. DOI : 10.1214/16-Aoas980.

Bayesian uncertainty management in temporal dependence of extremes

T. Lugrin; A. C. Davison; J. A. Tawn 

Extremes. 2016. Vol. 19, num. 3, p. 491-515. DOI : 10.1007/s10687-016-0258-0.

A Bayesian view of doubly robust causal inference

O. Saarela; L. R. Belzile; D. A. Stephens 

Biometrika. 2016. Vol. 103, num. 3, p. 667-681. DOI : 10.1093/biomet/asw025.

A Levy-derived process seen from its supremum and max-stable processes

S. Engelke; J. Ivanovs 

Electronic Journal Of Probability. 2016. Vol. 21, p. 14. DOI : 10.1214/16-Ejp1112.

The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues

P. Braunsteins; S. Hautphenne; P. G. Taylor 

Queueing Systems. 2016. Vol. 83, num. 1-2, p. 157-179. DOI : 10.1007/s11134-016-9480-3.

Exact simulation of max-stable processes

C. Dombry; S. Engelke; M. Oesting 

Biometrika. 2016. Vol. 103, num. 2, p. 303-317. DOI : 10.1093/biomet/asw008.

Lyapunov Exponents for Branching Processes in a Random Environment: The Effect of Information

S. Hautphenne; G. Latouche 

Journal Of Statistical Physics. 2016. Vol. 163, num. 2, p. 393-410. DOI : 10.1007/s10955-016-1474-3.

Likelihood estimators for multivariate extremes

R. Huser; A. C. Davison; M. G. Genton 

Extremes. 2016. Vol. 19, num. 1, p. 79-103. DOI : 10.1007/s10687-015-0230-4.

A characterization of the normal distribution using stationary max-stable processes

S. Engelke; Z. Kabluchko 

Extremes. 2016. Vol. 19, num. 1, p. 1-6. DOI : 10.1007/s10687-015-0235-z.

Bayesian Uncertainty Management in Temporal Dependence of Extremes

T. Lugrin; A. C. Davison; J. A. Tawn 

Extremes -Dordrecht-. 2016. Vol. 19, p. 491-515. DOI : 10.1007/s10687-016-0258-0.

2015

Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation

X. Pedeli; A. C. Davison; K. Fokianos 

Journal Of The American Statistical Association. 2015. Vol. 110, num. 511, p. 1229-1238. DOI : 10.1080/01621459.2014.983230.

Objective Bayesian Model Selection

T. Lugrin 

2015

Max-stable processes and stationary systems of Levy particles

S. Engelke; Z. Kabluchko 

Stochastic Processes And Their Applications. 2015. Vol. 125, num. 11, p. 4272-4299. DOI : 10.1016/j.spa.2015.07.001.

A simple model-based approach to variable selection in classification and clustering

V. Partovi Nia; A. C. Davison 

Canadian Journal Of Statistics-Revue Canadienne De Statistique. 2015. Vol. 43, num. 2, p. 157-175. DOI : 10.1002/cjs.11241.

Statistics of Extremes

A. C. Davison; R. Huser 

Annual Review Of Statistics And Its Application, Vol. 2; Palo Alto: Annual Reviews, 2015. p. 203-235.

Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process

B. Das; S. Engelke; E. K. Hashorva 

Stochastic Processes And Their Applications. 2015. Vol. 125, num. 2, p. 780-796. DOI : 10.1016/j.spa.2014.09.006.

Meta-analysis of incomplete microarray studies

A. Leboucq; A. C. Davison; D. Goldstein 

Biostatistics. 2015. Vol. 16, num. 4, p. 686-700. DOI : 10.1093/biostatistics/kxv014.

2014

Additive Smooth Modelling with Splines

T. Lugrin 

2014

Heavy-tail Phenomena: Spatio-temporal Extremal Dependence

T. Lugrin 

2014

Measuring the relative effect of factors affecting species distribution model predictions

E. Thibaud; B. Petitpierre; O. Broennimann; A. C. Davison; A. Guisan 

Methods In Ecology And Evolution. 2014. Vol. 5, num. 9, p. 947-955. DOI : 10.1111/2041-210X.12203.

Contributions to Spatial Statistics

E. Thibaud / A. C. Davison (Dir.)  

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6426.

Meta-analysis of Incomplete Microarray Studies

A. Leboucq / A. C. Davison; D. Goldstein (Dir.)  

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6371.

Spectral Density Ratio Models for Multivariate Extremes

M. De Carvalho; A. C. Davison 

Journal Of The American Statistical Association. 2014. Vol. 109, num. 506, p. 764-776. DOI : 10.1080/01621459.2013.872651.

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

A. C. Davison; D. A. S. Fraser; N. Reid; N. Sartori 

Journal Of The American Statistical Association. 2014. Vol. 109, num. 505, p. 302-314. DOI : 10.1080/01621459.2013.839451.

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

J. L. Wadsworth; J. A. Tawn 

Biometrika. 2014. Vol. 101, num. 1, p. 1-15. DOI : 10.1093/biomet/ast042.

Space-time modelling of extreme events

R. Huser; A. C. Davison 

Journal Of The Royal Statistical Society Series B-Statistical Methodology. 2014. Vol. 76, num. 2, p. 439-461. DOI : 10.1111/rssb.12035.

2013

Bayesian Semiparametrics for Modelling the Clustering of Extreme Values

T. Lugrin 

2013.

A new representation for multivariate tail probabilities

J. L. Wadsworth; J. A. Tawn 

Bernoulli. 2013. Vol. 19, num. 5B, p. 2689-2714. DOI : 10.3150/12-Bej471.

Nonstationary Positive Definite Tapering On The Plane

E. Anderes; R. Huser; D. Nychka; M. Coram 

Journal Of Computational And Graphical Statistics. 2013. Vol. 22, num. 4, p. 848-865. DOI : 10.1080/10618600.2012.729982.

Threshold modeling of extreme spatial rainfall

E. Thibaud; R. Mutzner; A. C. Davison 

Water Resources Research. 2013. Vol. 49, num. 8, p. 4633-4644. DOI : 10.1002/wrcr.20329.

From pointwise testing to a regional vision: An integrated statistical approach to detect nonstationarity in extreme daily rainfall. Application to the Sahelian region

G. Panthou; T. Vischel; T. Lebel; G. Quantin; A-C. F. Pugin et al. 

Journal Of Geophysical Research-Atmospheres. 2013. Vol. 118, num. 15, p. 8222-8237. DOI : 10.1002/jgrd.50340.

Geostatistics of Dependent and Asymptotically Independent Extremes

A. C. Davison; R. Huser; E. Thibaud 

Mathematical Geosciences. 2013. Vol. 45, num. 5, p. 511-529. DOI : 10.1007/s11004-013-9469-y.

Statistical Modeling and Inference for Spatio-Temporal Extremes

R. Huser / A. C. Davison (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5946.

Composite likelihood estimation for the Brown--Resnick process

R. Huser; A. C. Davison 

Biometrika. 2013. Vol. 100, num. 2, p. 511-518. DOI : 10.1093/biomet/ass089.

Spectral modeling of time series with missing data

P. C. Rodrigues; M. De Carvalho 

Applied Mathematical Modelling. 2013. Vol. 37, num. 7, p. 4676-4684. DOI : 10.1016/j.apm.2012.09.040.

On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes - Part 2: The effects of the El Nino/Southern Oscillation, volcanic eruptions and contributions of atmospheric dynamics and chemistry to long-term total ozone changes

H. E. Rieder; L. Frossard; M. Ribatet; J. Staehelin; J. A. Maeder et al. 

Atmospheric Chemistry And Physics. 2013. Vol. 13, num. 1, p. 165-179. DOI : 10.5194/acp-13-165-2013.

On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes - Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry

L. Frossard; H. E. Rieder; M. Ribatet; J. Staehelin; J. A. Maeder et al. 

Atmospheric Chemistry And Physics. 2013. Vol. 13, num. 1, p. 147-164. DOI : 10.5194/acp-13-147-2013.

A Euclidean Likelihood Estimator for Bivariate Tail Dependence

M. de Carvalho; B. Oumow; J. J. Segers; M. Warchoł 

Communications in Statistics – Theory and Methods. 2013. Vol. 42, num. 7, p. 1176-1192. DOI : 10.1080/03610926.2012.709905.

2012

Open Support Platform for Environmental Research (OSPER)-tools for the discovery and exploitation of environmental data

N. Dawes; M. Lehning; M. Bavay; S. Sofiane; I. Iosifescu et al. 

2012. AGU Fall Meeting.

Anti-glycan antibodies in epithelial ovarian cancer

F. Jacob; D. Goldstein; T. Pochechueva; B. W. C. Tse; N. V. Bovin et al. 

2012.  p. S29-S29.

Extreme rainfall in West Africa: A regional modeling

G. Panthou; T. Vischel; T. Lebel; J. Blanchet; G. Quantin et al. 

Water Resources Research. 2012. Vol. 48. DOI : 10.1029/2012Wr012052.

Extremes: spatial parametric modeling

A. C. Davison 

Encyclopedia of Environmetrics Second Edition; Chichester, UK: John Wiley, 2012. p. 984-990.

Modelling Time Series Extremes

V. Chavez-Demoulin; A. C. Davison 

Revstat-Statistical Journal. 2012. Vol. 10, p. 109-133.

Bivariate Extreme Statistics, Ii

M. de Carvalho; A. Ramos 

Revstat-Statistical Journal. 2012. Vol. 10, p. 83-107.

Statistical Modeling of Spatial Extremes

A. C. Davison; S. A. Padoan; M. Ribatet 

Statistical Science. 2012. Vol. 27, p. 161-186. DOI : 10.1214/11-STS376.

Digging out the PPP hypothesis: an integrated empirical coverage

M. de Carvalho; P. Julio 

Empirical Economics. 2012. Vol. 42, p. 713-744. DOI : 10.1007/s00181-010-0441-0.

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclus

V. P. Nia; A. C. Davison 

Journal Of Statistical Software. 2012. Vol. 47, p. 1-22.

A case study of a "Dragon-King": The 1999 Venezuelan catastrophe

M. Sueveges; A. C. Davison 

European Physical Journal-Special Topics. 2012. Vol. 205, p. 131-146. DOI : 10.1140/epjst/e2012-01566-6.

Diabetes imaging — quantitative assessment of islets of Langerhans distribution in murine pancreas using extended-focus optical coherence microscopy

C. Berclaz; J. Goulley; M. Villiger; A. Bouwens; E. Martin-williams et al. 

Biomedical Optics Express. 2012. Vol. 3, num. 6, p. 1365--1380. DOI : 10.1364/BOE.3.001365.

A dimension reduction technique for estimation in linear mixed models

M. de Carvalho; M. Fonseca; M. Oliveira; J. T. Mexia 

2012. Conference of the LinStat, Tomar, PORTUGAL, Jul 27-31, 2010. p. 219-226. DOI : 10.1080/00949655.2011.604032.

Statistical modelling of ground temperature in mountain permafrost

J. Blanchet; A. C. Davison 

Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences. 2012. Vol. 468, p. 1472-1495. DOI : 10.1098/rspa.2011.0615.

Tracking the US business cycle with a singular spectrum analysis

M. de Carvalho; P. C. Rodrigues; A. Rua 

Economics Letters. 2012. Vol. 114, p. 32-35. DOI : 10.1016/j.econlet.2011.09.007.

From sensor networks to connected analysis tools

N. Dawes; M. Bavay; T. Egger; S. Sarni; A. Salehi et al. 

2012. European Geosciences Union General Assembly 2012, Vienna, Austria, April 22-27, 2012.

Serum antiglycan antibody detection of nonmucinous ovarian cancers by using a printed glycan array

F. Jacob; D. R. Goldstein; N. V. Bovin; T. Pochechueva; M. Spengler et al. 

International Journal Of Cancer. 2012. Vol. 130, p. 138-146. DOI : 10.1002/ijc.26002.

A generalization of the Solis-Wets method

M. de Carvalho 

Journal Of Statistical Planning And Inference. 2012. Vol. 142, p. 633-644. DOI : 10.1016/j.jspi.2011.08.016.

Bayesian inference from composite likelihoods, with an application to spatial extremes

M. Ribatet; D. Cooley; A. C. Davison 

Statistica Sinica. 2012. Vol. 22, num. 2, p. 813-845. DOI : 10.5705/ss.2009.248.

Geostatistics of extremes

A. C. Davison; M. M. Gholamrezaee 

Proceedings of the Royal Society of London Series A: Mathematical and Physical Sciences. 2012. Vol. 468, p. 581-608. DOI : 10.1098/rspa.2011.0412.

Statistical Analysis of Mountain Permafrost Temperatures

E. Zenklusen Mutter / A. C. Davison; M. Phillips (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5270.

2011

Comparison of printed glycan array, suspension array and ELISA in the detection of human anti-glycan antibodies

T. Pochechueva; F. Jacob; D. R. Goldstein; M. E. Huflejt; A. Chinarev et al. 

Glycoconjugate Journal. 2011. Vol. 28, p. 507-517. DOI : 10.1007/s10719-011-9349-y.

Discussion of the papers by Dankers and Feyen, Cooley, and Keef

A. C. Davison 

2011. International Statistical Institute, Dublin, Ireland, August 21-26, 2011.

Long-term changes in annual maximum snow depth and snowfall in Switzerland based on extreme value statistics

C. Marty; J. Blanchet 

Climatic Change. 2011. DOI : 10.1007/s10584-011-0159-9.

SpaCEM(3): a software for biological module detection when data is incomplete, high dimensional and dependent

M. Vignes; J. Blanchet; D. Leroux; F. Forbes 

Bioinformatics. 2011. Vol. 27, p. 881-882. DOI : 10.1093/bioinformatics/btr034.

Extreme temperature analysis under forest cover compared to an open field

J. Ferrez; A. C. Davison; M. Rebetez 

Agricultural And Forest Meteorology. 2011. Vol. 151, p. 992-1001. DOI : 10.1016/j.agrformet.2011.03.005.

No benefit from combining HE4 and CA125 as ovarian tumor markers in a clinical setting

F. Jacob; M. Meier; R. Caduff; D. Goldstein; T. Pochechueva et al. 

Gynecologic Oncology. 2011. Vol. 121, p. 487-491. DOI : 10.1016/j.ygyno.2011.02.022.

Discussion of `Threshold modelling of spatially dependent non-stationary extremes with application to hurricane-induced wave heights' by P. J. Northrop and P. Jonathan

V. Chavez-Demoulin; A. C. Davison; L. Frossard 

Environmetrics. 2011. Vol. 22, p. 810-812. DOI : 10.1002/env.1125.

Spatial modelling of extreme snow depth

J. Blanchet; A. C. Davison 

Annals of Applied Statistics. 2011. Vol. 5, p. 1699-1725. DOI : 10.1214/11-AOAS464.

Hierarchical wavelet modelling of environmental sensor data

Y. Ruffieux; A. C. Davison 

Brazilian Journal of Probability and Statistics. 2011. Vol. 25, p. 406-420. DOI : 10.1214/11-BJPS154.

Comparison of Models for Olfactometer Data

A. C. Davison; I. Ricard 

Journal of Agricultural, Biological, and Environmental Statistics. 2011. Vol. 16, num. 2, p. 157-169. DOI : 10.1007/s13253-010-0042-6.

Statistics of extremes

M. Lovric; A. C. Davison 

International Encyclopedia of Statistical Science; new York: Springer, 2011. p. 1484--1487.

2010

Revisiting the Edge, Ten Years On

V. Chavez-Demoulin; P. Embrechts 

Communications In Statistics-Theory And Methods. 2010. Vol. 39, p. 1674-1688. DOI : 10.1080/03610920902822670.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

L. Shi; G. Campbell; W. D. Jones; F. Campagne; Z. Wen et al. 

Nature Biotechnology. 2010. Vol. 28, p. 827-U109. DOI : 10.1038/nbt.1665.

Relationship between high daily erythemal UV doses, total ozone, surface albedo and cloudiness: An analysis of 30 years of data from Switzerland and Austria

H. E. Rieder; J. Staehelin; P. Weihs; L. Vuilleumier; J. A. Maeder et al. 

Atmospheric Research. 2010. Vol. 98, p. 9-20. DOI : 10.1016/j.atmosres.2010.03.006.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

L. Shi; G. Campbell; W. D. Jones; F. Campagne; Z. Wen et al. 

Pharmacogenomics Journal. 2010.  p. S5-S16. DOI : 10.1038/nbt.1665.

Mapping snow depth return levels: smooth spatial modeling versus station interpolation

J. Blanchet; M. Lehning 

Hydrology and Earth System Sciences. 2010. Vol. 14, num. 12, p. 2527-2544. DOI : 10.5194/hess-14-2527-2010.

Extreme events in total ozone over Arosa---Part 2: Fingerprints of atmospheric dynamics and chemistry and effects on mean values and long-term changes

H. E. Rieder; J. Staehelin; J. A. Maeder; T. Peter; M. Ribatet et al. 

Atmospheric Chemistry and Physics. 2010. Vol. 10, p. 10033-10045. DOI : 10.5194/acp-10-10033-2010.

Extreme events in total ozone over Arosa---Part 1: Application of extreme value theory

H. E. Rieder; J. Staehelin; J. A. Maeder; T. Peter; M. Ribatet et al. 

Atmospheric Chemistry and Physics. 2010. Vol. 10, p. 10021-10031. DOI : 10.5194/acp-10-10021-2010.

Bayesian modelling for matching and alignment of biomolecules

P. J. Green; K. V. Mardia; V. B. Nyirongo; Y. Ruffieux 

The Oxford Handbook of Applied Bayesian Analysis; Oxford: Oxford University Press, 2010. p. 27-50.

Likelihood-Based Inference for Max-Stable Processes

S. A. Padoan; M. Ribatet; S. A. Sisson 

Journal of the American Statistical Association. 2010. Vol. 105, num. 489, p. 263-277. DOI : 10.1198/jasa.2009.tm08577.

Effects of Rewarding and Unrewarding Experiences on the Response to Host-induced Plant Odors of the Generalist Parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)

A. Costa; I. Ricard; A. C. Davison; T. C. J. Turlings 

Journal of Insect Behavior. 2010. Vol. 23, num. 4, p. 303-318. DOI : 10.1007/s10905-010-9215-y.

Geostatistics of Extremes

M. M. Gholam Rezaee / A. C. Davison (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4844.

Three Examples of Accurate Likelihood Inference

C. Lozada-Can; A. C. Davison 

American Statistician. 2010. Vol. 64, p. 131-139. DOI : 10.1198/tast.2010.09004.

Model misspecification in peaks over threshold analysis

M. Süveges; A. C. Davison 

The Annals of Applied Statistics. 2010. Vol. 4, num. 1, p. 203-221. DOI : 10.1214/09-AOAS292.

Curvature and Strength of Ni-YSZ Solid Oxide Half-cells after RedOx Treatments

A. Faes; H. L. Frandsen; A. Kaiser; D. R. Goldstein; M. Pihlatie 

Journal of Fuel Cells Science and Technology. 2010. Vol. 7, num. 5, p. 051011. DOI : 10.1115/1.4001019.

2009

Global sensitivity analysis of computer models with functional inputs

B. Iooss; M. Ribatet 

2009. 5th International Conference on Sensitivity Analysis of Model Output (SAMO 2007), Budapest, HUNGARY, Jun 18-22, 2007. p. 1194-1204. DOI : 10.1016/j.ress.2008.09.010.

The radial plot in meta-analysis: approximations and applications

J. Copas; C. Lozada-Can 

Journal Of The Royal Statistical Society Series C-Applied Statistics. 2009. Vol. 58, p. 329-344. DOI : 10.1111/j.1467-9876.2008.00650.x.

Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs

F. Jacob; D. R. Goldstein; D. Fink; V. Heinzelmann-Schwarz 

Biomarkers In Medicine. 2009. Vol. 3, p. 743-756. DOI : 10.2217/BMM.09.48.

A note on the representation of parametric models for multivariate extremes

M-O. Boldi 

Extremes. 2009. Vol. 12, p. 211-218. DOI : 10.1007/s10687-008-0076-0.

Fast high-dimensional Bayesian classification and clustering

V. Partovi Nia / A. C. Davison (Dir.)  

Lausanne: EPFL, 2009. DOI : 10.5075/epfl-thesis-4482.

Stochastic modelling of prey depletion processes

T. Clerc; A. C. Davison; L-F. Bersier 

Journal of Theoretical Biology. 2009. Vol. 259, p. 523-532. DOI : 10.1016/j.jtbi.2009.04.017.

Saddlepoint approximation for mixture models

A. C. Davison; D. Mastropietro 

Biometrika. 2009. Vol. 96, p. 479-486. DOI : 10.1093/biomet/asp022.

Statistical analysis of clusters of extreme events

M. Süveges / A. C. Davison (Dir.)  

Lausanne: EPFL, 2009. DOI : 10.5075/epfl-thesis-4312.

Alignment of Multiple Configurations Using Hierarchical Models

Y. Ruffieux; P. J. Green 

Journal of Computational and Graphical Statistics. 2009. Vol. 18, num. 3, p. 756-773. DOI : 10.1198/jcgs.2009.07048.

2008

Entrainment and motion of coarse particles in a shallow water stream down a steep slope

C. Ancey; A. C. Davison; T. B. Böhm; M. Jodeau; P. FREY 

Journal of Fluid Mechanics. 2008. Vol. 595, p. 83-114. DOI : 10.1017/S0022112007008774.

A tutorial on adaptive MCMC

C. Andrieu; J. Thoms 

Statistics And Computing. 2008. Vol. 18, p. 343-373. DOI : 10.1007/s11222-008-9110-y.

Quality Assessment for Short Oligonucleotide Microarray Data: Comment

D. R. Goldstein 

Technometrics. 2008. Vol. 50, p. 276-279. DOI : 10.1198/004017008000000370.

Accurate parametric inference for small samples

A. R. Brazzale; A. C. Davison 

Statistical Science. 2008. Vol. 23, num. 4, p. 465-484. DOI : 10.1214/08-STS273.

The Banff challenge: Statistical detection of a noisy signal

A. C. Davison; N. Sartori 

Statistical Science. 2008. Vol. 23, num. 3, p. 354-364. DOI : 10.1214/08-STS260.

A Consistent Confidence Interval for Fuzzy Capability Index

A. Parchami; M. Mashinchi; V. Partovi Nia 

Applied and Computational Mathematics. 2008. Vol. 7, num. 1, p. 119-125.

Statistical methods for insect choice experiments

I. Ricard / A. C. Davison (Dir.)  

Lausanne: EPFL, 2008. DOI : 10.5075/epfl-thesis-4020.

2007

Likelihood estimation of the extremal index

M. Süveges 

Extremes. 2007. Vol. 10, num. 1-2, p. 41-55. DOI : 10.1007/s10687-007-0034-2.

Some challenges for statistics

A. C. Davison 

Statistical Methods and Applications. 2007. Vol. 17, p. 167-181. DOI : 10.1007/s10260-007-0079-z.

Conserved oviposition preferences in alpine leaf beetle populations despite host shifts and isolation

A. Verdon; N. Margraf; A. C. Davison; M. Rahier; R. E. Naisbit 

Ecological Entomology. 2007. Vol. 32, p. 62-69. DOI : 10.1111/j.1365-2311.2006.00842.x.

A mixture model for multivariate extremes

M-O. Boldi; A. C. Davison 

Journal of the Royal Statistical Society, series B. 2007. Vol. 69, p. 217-229. DOI : 10.1111/j.1467-9868.2007.00585.x.

Reliable confidence intervals in quantitative genetics: Narrow-sense heritability

T. Fabbro; A. C. Davison; T. Steinger 

Theoretical and Applied Genetics. 2007. Vol. 115, p. 933-944. DOI : 10.1007/s00122-007-0619-9.

Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering

A. Chaudhary; V. Partovi Nia; A. C. Davison 

2007

Hierarchical wavelet modelling of environmental sensor data

Y. Ruffieux; A. C. Davison 

2007

Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting

G. Messerli; V. Partovi Nia; M. Trevisan; A. Kolbe; N. Schauer et al. 

Plant Physiology. 2007. Vol. 143, p. 1484-1492. DOI : 10.1104/pp.106.090795.

Likelihood estimation of the extremal index

M. Suveges 

Extreme-Value Analysis, Bern, Switzerland, 23-27 July 2007.

Likelihood estimation of the extremal index

M. Suveges 

Statistics of Extremes and Environmental Risk, Lisbon, Portugal, 14-18 February 2007.

Likelihood estimation of the extremal index

M. Süveges 

Extremes. 2007. Vol. 10, num. 1-2, p. 41-55. DOI : 10.1007/s10687-007-0034-2.

An Intorduction to the Interface Between C and R

A. Chaudhary 

2007

Applied Asymptotics: Case Studies in Small-Sample Statistics

A. R. Brazzale; A. C. Davison; N. Reid 

Cambridge: Cambridge University Press, 2007.

Resamping variance estimation in surveys with missing data

A. C. Davison; S. Sardy 

Journal of Offical Statistics. 2007. Vol. 23, p. 371-386.

Statistical inference for olfactometer data

I. Ricard; A. C. Davison 

Applied Statistics. 2007. Vol. 56, p. 479-492. DOI : 10.1111/j.1467-9876.2007.00588.x.

2006

Partition resampling and extrapolation averaging: approximation methods for quantifying gene expression in large numbers of short oligonucleotide arrays

D. R. Goldstein 

Bioinformatics. 2006. Vol. 22, num. 19, p. 2364-2372. DOI : 10.1093/bioinformatics/btl402.

Clustering of extreme temperatures from 1772 to 2004

M. Suveges; A. C. Davison 

Global Change Day 2006, Bern, Switzerland, 20 April 2006.

Survival and Censored Data

L. Samartzis 

2006

Méthodes de rééchantillonnage pour l'estimation de variance

A. C. Davison; S. Sardy 

Journal de la Société Française de Statistique. 2006. Vol. 147, num. 3, p. 3-32.

Bootstrap diagnostics and remedies

A. J. Canty; A. C. Davison; D. V. Hinkley; V. Ventura 

Canadian Journal of Statistics. 2006. Vol. 34, p. 5-27.

Assessment and analysis of mechanical allodynia-like behaviour induced by spared nerve injury (SNI) in the mouse

A-F. Bourquin; M. Süveges; M. Pertin; N. Gilliard; S. Sardy et al. 

Pain. 2006. Vol. 122, num. 1-2, p. 14e1-14.e14. DOI : 10.1016/j.pain.2005.10.036.

A comparison of naive and conditioned responses of three generalist endoparasitoids of lepidopteran larvae to host-induced plant odours

C. Tamò; I. Ricard; M. Held; A. C. Davison; T. C. J. Turlings 

Animal Biology. 2006. Vol. 56, p. 205-220.

Bayesian forecasting of grape moth emergence

M-A. Moravie; A. C. Davison; D. Pasquier; P-J. Charmillot 

Ecological Modelling. 2006. Vol. 197, p. 478-489.

A Laplace mixture model for the identification of differential expression in microarrays

D. Bhowmick; A. C. Davison; D. R. Goldstein; Y. Ruffieux 

Biostatistics. 2006. Vol. 7, num. 4, p. 630-641. DOI : 10.1093/biostatistics/kxj032.

Improved likelihood inference for discrete data

A. C. Davison; D. A. S. Fraser; N. Reid 

Journal of the Royal Statistical Society series B. 2006. Vol. 68, p. 495-508. DOI : 10.1111/j.1467-9868.2006.00548.x.

Bayesian risk analysis of financial time series

C. Osinski / A. C. Davison (Dir.)  

Lausanne: EPFL, 2006. DOI : 10.5075/epfl-thesis-3470.

2005

Identification of molecular apocrine breast tumours by microarray analysis

P. Farmer; H. Bonnefoi; V. Becette; M. Tubiana-Hulin; P. Fumoleau et al. 

Oncogene. 2005. Vol. 24, num. 29, p. 4660-71. DOI : 10.1038/sj.onc.1208561.

Saddlepoint approximations to studentized bootstrap distributions based on M-estimates

D. Kuonen 

Computational Statistics. 2005. Vol. 20, num. 2, p. 231-244.

Studentized bootstrap confidence intervals based on M-estimates

D. Kuonen 

Journal of Applied Statistics. 2005. Vol. 32, num. 5, p. 443-460. DOI : 10.1080/02664760500079340.

Generalized monotone additive latent variable models

M-P. Victoria-Feser; S. Sardy 

2005

Comparison of Meta-analysis to Combined Analysis of a Replicated Microarray Study

D. R. Goldstein; M. Delorenzi; R. Luthi-Carter; T. Sengstag 

Meta-analysis and Combining Information in Genetics; Chapman&Hall/CRC, 2005. p. to appear.

The evaluation of evidence in the forensic investigation of fire incidents (Part II): Practical examples of the use of Bayesian networks

A. Biedermann; F. Taroni; O. Delemont; C. Semadeni; A. C. Davison 

Forensic Science International. 2005. Vol. 147, p. 59-69.

The evaluation of evidence in the forensic investigation of fire incidents (Part I): An approach using Bayesian networks

A. Biedermann; F. Taroni; O. Delemont; C. Semadeni; A. C. Davison 

Forensic Science International. 2005. Vol. 147, p. 49-57.

Gene Expression Measurements by Quantitative Real-time PCR Depends on Short Amplicons and a Proper Normalization

J. Antonov; D. R. Goldstein; A. Oberli; A. Baltzer; M. Pirotta et al. 

Laboratory Investigation. 2005. Vol. 85, p. 1040-1050. DOI : 10.1038/labinvest.3700303.

Celebrating Statistics: Papers in Honour of Sir David Cox on the Occasion of his 80th Birthday

A. C. Davison; Y. Dodge; N. Wermuth 

Oxford, UK: Oxford University Press, 2005.

Bootstrap methods

A. J. Canty; A. C. Davison 

Encyclopedia of Statistics in the Behavioural Sciences; Wiley, 2005. p. 169-176.

A point process approach to value-at-risk estimation

V. Chavez-Demoulin; A. C. Davison; A. J. McNeil 

Quantitative Finance. 2005. Vol. 5, num. 2, p. 227-234. DOI : 10.1080/14697680500039613.

Generalized additive models for sample extremes

V. Chavez-Demoulin; A. C. Davison 

Applied Statistics. 2005. Vol. 54, p. 207-222.

2004

Numerical integration is an art, not a science

D. Kuonen 

Bulletin of the International Society for Bayesian Analysis. 2004. Vol. 11, num. 1, p. 11-13.

Resampling-based variance estimation in DACSEIS with application to the Swiss Household Budget Survey

A. Davison; S. Sardy 

2004. 

A six-arm olfactometer permitting simultaneous observation of insect attraction and odour trapping

T. C. J. Turlings; C. Tamo; A. C. Davison 

Physiological Entomology. 2004. Vol. 29, num. 1, p. 1-11. DOI : 10.1111/j.1365-3032.2004.0362.x.

AMlet, RAMlet and GAMlet: Automatic nonlinear fitting of additive models, robust and generalized with wavelets

S. Sardy; P. Tseng 

Journal of Computational and Graphical Statistics. 2004. Vol. 13, p. 283-309.

On the statistical analysis of smoothing by maximizing dirty Markov random field posterior distributions

S. Sardy; P. Tseng 

Journal of the American Statistical Association. 2004. Vol. 9, p. 191-204.

Structure and inferred dynamics of a large grove of Microberlinia bisulcata trees in central African rain forest: the possible role of periods of multiple disturbance events

D. M. Newbery; X. M. van der Burgt; M-A. Moravie 

Journal of Tropical Ecology. 2004. Vol. 20, p. 131-143.

Unraveling Lipid Metabolism with Micorarrays

D. R. Goldstein; M. Delorenzi 

Statistical Design and Data Analysis for Microarray Experiments; Dekker, 2004.

Posterior probability intervals in Bayesian wavelet estimation

C. Semadeni; A. C. Davison; D. V. Hinkley 

Biometrika. 2004. Vol. 91, num. 2, p. 497-505. DOI : 10.1093/biomet/91.2.497.

Order statistics

A. C. Davison; F. Dorsaz 

Encyclopedia of Biostatistics; Wiley, 2004. p. online edition.

Normal Scores

A. C. Davison 

Encyclopedia of Biostatistics; Wiley, 2004. p. online edition.

Extreme values

A. C. Davison 

Encyclopedia of Biostatistics; Wiley, 2004. p. online edition.

Automatic smoothing with wavelets for a wide class of distributions

S. Sardy; A. Antoniadis; P. Tseng 

Journal of Computational and Graphical Statistics. 2004. Vol. 13, p. 399-421.

Mixture models for multivariate extremes

M-O. Boldi / A. C. Davison (Dir.)  

Lausanne: EPFL, 2004. DOI : 10.5075/epfl-thesis-3098.

2003

Natural variation in baseline data: when do we call a new sample ‘resistant’?

L. Schaub; S. Sardy; G. Capkun 

2003. 

Resampling-based variance estimation in DACSEIS

A. C. Davison; S. Sardy 

Bulletin of the International Statistical Institute: Data quality in complex surveys, Berlin. 2003. 

Discussion of Wakefield, J. (2004) Ecological inference for 2x2 tables

A. C. Davison; C. Semadeni 

Journal of the Royal Statistical Society series A. 2003. Vol. 167, p. 434-435.

Discussion of Kong, A., McCullagh, P., Nicolae, D., Tan, Z., and Meng, X.-L. (2003) A theory of statistical models for Monte Carlo integration

A. C. Davison 

Journal of the Royal Statistical Society series B. 2003. Vol. 65, p. 609.

Discussion of Heffernan, J. and Tawn, J. A. (2004) A conditional approach for multivariate extreme values

M-O. Boldi; A. C. Davison 

Journal of the Royal Statistical Society series B. 2003. Vol. 66, p. 539-540.

Non-parametric bootstrap confidence intervals for the intraclass correlation coefficient

O. C. Ukoumunne; A. C. Davison; M. C. Gulliford; S. Chinn 

Statistics in Medicine. 2003. Vol. 22, num. 24, p. 3805-3821. DOI : 10.1002/sim.1643.

Topographic variation and stand heterogeneity in a wet evergreen forest of India

M-A. Moravie; A. Robert 

Journal of Tropical Ecology. 2003. Vol. 19, p. 697-707.

A model to assess relationships between forest dynamics and spatial structure

M-A. Moravie; A. Robert 

Journal of Vegetation Science. 2003. Vol. 14, p. 823-834.

Numerical integration in S-PLUS or R: a survey

D. Kuonen 

Journal of Statistical Software. 2003. Vol. 8, p. 1-14.

Extensions to a score test for genetic linkage with identity by descent data

S. Dudoit; D. R. Goldstein 

Science and Statistics: A Festschrift for Terry Speed, Institute of Mathematical Statistics, Lecture Notes --- Monograph Series; 2003. p. 307-319.

Household smoking behavior and ETS exposure among children with asthma in low-income, minority households

B. A. Berman; G. C. Wong; R. Bastani; T. Hoang; C. Jones et al. 

Addictive Behaviors. 2003. Vol. 28, num. 1, p. 111-128. DOI : 10.1016/S0306-4603(01)00221-0.

Science and Statistics: A Festschrift for Terry Speed

D. R. Goldstein 

A brief introduction to genetics; Institute of Mathematical Statistics, Lecture Notes - Monograph Series, 2003. p. 231-236.

The Oxford Dictionary of Statistical Terms

D. R. Cox; D. Commenges; A. C. Davison; P. J. Solomon; S. R. Wilson 

The Oxford Dictionary of Statistical Terms; Oxford University Press, 2003.

Recent developments in bootstrap methodology

A. C. Davison; D. V. Hinkley; G. A. Young 

Statistical Science. 2003. Vol. 18, p. 141-157.

Statistical Models

A. C. Davison 

Cambridge: Cambridge University Press, 2003.

A note on model uncertainty in linear regression

C. Candolo; A. C. Davison; C. G. B. Demétrio 

The Statistician. 2003. Vol. 52, p. 165-177.

2002

Performance of quantitative versus passive investing: a comparison in global markets

R. C. Dalang; C. Osinski; W. Marty 

The Journal of Performance Measurement. 2002. Vol. 6, num. 2, p. 29-44.

Discussion of K. W. Broman and T. P. Speed (2002) A model selection approach for the identification of quantitative trait loci in experimental crosses and G. Parmigiani, E. S. Garrett, R. Anbazhagan, and E. Gabrielson (2002) A statistical framework for expression-based molecular classification in cancer

D. R. Goldstein 

Journal of the Royal Statistical Society series B. 2002. Vol. 64, p. 744.

An introduction to the bootstrap with applications in R

A. C. Davison; D. Kuonen 

Statistical Computing and Graphics Newsletter. 2002. Vol. 13, p. 6-11.

Statistical Data Analysis Based on the L1-Norm and Related Methods

S. Sardy; C. Bilat; P. Tseng; V. Chavez-Demoulin 

A comparison between $L_1$ Markov random field-based and wavelet-based estimators; Birkhäuser, 2002. p. 395-403.

Effects of dinoseb on the entire life-cycle of Daphnia magna. Part II: Modelling of survival and proposal of an alternative to No-Observed-Effect-Concentration (NOEC)

N. Chèvre; K. Becker-van Slooten; J. Tarradellas; A. R. Brazzale; R. Behra et al. 

Environmental Toxicology and Chemistry. 2002. Vol. 21, p. 828-833.

Empirical supremum rejection sampling

B. Caffo; J. G. Booth; A. C. Davison 

Biometrika. 2002. Vol. 89, num. 4, p. 745-754. DOI : 10.1093/biomet/89.4.745.

Local models for exploratory analysis of hydrological extremes

N. I. Ramesh; A. C. Davison 

Journal of Hydrology. 2002. Vol. 256/1--2, p. 106-119.

Saddlepoint approximations as smoothers

A. C. Davison; S. Wang 

Biometrika. 2002. Vol. 89, num. 4, p. 933-938. DOI : 10.1093/biomet/89.4.933.

Natural variation in baseline data: when do we call a new sample "resistant"?

L. Schaub; S. Sardy; G. Capkun 

Pest Management Science. 2002. Vol. 58, num. 10, p. 959-963. DOI : 10.1002/ps.561.

2001

R - un exemple du succès des modèles libres

D. Kuonen; V. Chavez-Demoulin 

Flash Informatique. 2001. Vol. 2, p. 3-7.

Data mining avec R dans un monde libre

R. Furrer; D. Kuonen 

Flash Informatique Spécial Été. 2001.  p. 45-50.

GRASS GIS et R : main dans la main dans un monde libre

R. Furrer; D. Kuonen 

Flash Informatique Spécial Été. 2001.  p. 51-56.

Robust wavelet denoising

S. Sardy; P. Tseng; A. Bruce 

IEEE Transactions on Signal Processing. 2001. Vol. 49, num. 6, p. 1146-1152. DOI : 10.1109/78.923297.

Identity-by-descent sharing using Markov chain Monte Carlo in subsets of the asthma Hutterite pedigree

C. M. Greenwood; A. Bureau; J. C. Loredo-Osti; N. M. Roslin; M. J. Crumley et al. 

Genetic Epidemiology. 2001. Vol. 21, Suppl., p. 244-251.

Power and robustness of a score test for linkage analysis of quantitative traits using identity by descent data on sib pairs

D. R. Goldstein; S. Dudoit; T. P. Speed 

Genetic Epidemiology. 2001. Vol. 20, num. 4, p. 415-431. DOI : 10.1002/gepi.1011.

Statistical issues in the clustering of gene expression data

D. R. Goldstein; D. Ghosh; E. M. Conlon 

Statistica Sinica. 2001. Vol. 12, p. 219-240.

T cell responses to highly active antiretroviral therapy defined by chemokine receptors expression, cytokine production, T cell receptor repertoire and anti-HIV T-lymphocyte activity

A. Giovannetti; M. Pierdominici; F. Mazzetta; S. Salemi; M. Marziali et al. 

Clinical and Experimental Immunology. 2001. Vol. 124, num. 1, p. 21-31. DOI : 10.1046/j.1365-2249.2001.01502.x.

T-cell immune activation in children with vertically transmitted hepatitis C virus infection

A. Giovannetti; F. Mazzetta; R. Coviello; A. M. Casadei; S. Mattia et al. 

Viral Immunology. 2001. Vol. 14, p. 169-179.

A wolf habitat suitability prediction study in Valais (Switzerland)

C. Glenz; A. Massolo; D. Kuonen; R. Schlaepfer 

Landscape and Urban Planning. 2001. Vol. 55, num. 1, p. 55-65. DOI : 10.1016/S0169-2046(01)00119-0.

A computer algebra package for approximate conditional inference

R. Bellio; A. Brazzale 

Statistics and Computing. 2001. Vol. 11, num. 1, p. 17-24. DOI : 10.1023/A:1026501714434.

Biometrika centenary: Theory and general methodology

A. C. Davison 

Biometrika. 2001. Vol. 88, num. 1, p. 13-52. DOI : 10.1093/biomet/88.1.13.

Regression diagnostics

A. C. Davison 

Encyclopedia of Environmetrics; Wiley, 2001. p. 1728-1733.

A Robust Rainfall-Runoff Transfer Model

G. Capkun; A. C. Davison; A. Musy 

Water Resources Research. 2001. Vol. 37, num. 12, p. 3207-3216. DOI : 10.1029/2001WR000295.

Computer-intensive statistical methods

D. Kuonen / A. C. Davison (Dir.)  

Lausanne: EPFL, 2001. DOI : 10.5075/epfl-thesis-2449.

2000

Intervalles de confiance bootstrap studentisésbasés sur des M-estimateurs robustes utilisant des approximationsde point de selle

D. Kuonen 

2000.  p. 501-502.

Contemporary evaluation of T cell subsets, chemokine receptors expression, cytokine production, anti-HIV cytotoxic activity and TCR V-beta repertoire in HIV-1-infected individuals during HAART

A. Giovannetti; M. Pierdominici; F. Mazzetta; S. Salemi; M. Marziali et al. 

2000. 

T cell responses to highly active antiretroviral therapy defined by chemokine receptors expression, cytokine production, T cell receptor repertoire and anti-HIV T-lymphocyte activity

A. Giovannetti; M. Pierdominici; F. Mazzetta; S. Salemi; M. Marziali et al. 

2000. 

Improvement of CD4, but not CD8, TCR BV repertoire after HAART

A. Giovannetti; D. Kuonen; F. Mazzetta; F. Iebba; E. A. Lusi et al. 

2000. 

Contribution to the discussion of `The estimating function bootstrap' by F. Hu and J. D. Kalbfleisch

A. J. Canty; A. C. Davison 

Canadian Journal of Statistics. 2000. Vol. 28, p. 488-493.

Minimax threshold for denoising complex signals with Waveshrink

S. Sardy 

IEEE Transactions on Signal Processing. 2000. Vol. 48, num. 4, p. 1023-1028. DOI : 10.1109/78.827536.

A familial risk profile for osteoporosis

L. B. Henderson; J. S. Adams; D. R. Goldstein; G. D. Braunstein; J. I. Rotter et al. 

Genetics in Medicine. 2000. Vol. 2, p. 222-225.

Power of a score test for quantitative trait linkage analysis of relative pairs

D. R. Goldstein; S. Dudoit; T. P. Speed 

Genetic Epidemiology. 2000. Vol. 19, num. s1, p. 585-591. DOI : 10.1002/1098-2272(2000)19:1+<::AID-GEPI13>3.0.CO;2-7.

Contemporary evaluation of T cell subsets, chemokine receptors expression, cytokine production, anti-HIV cytotoxic activity and TCR V-beta repertoire in HIV-1-infected individuals during HAART

A. Giovannetti; M. Pierdominici; F. Mazzetta; M. M. S. Salemi; D. Kuonen et al. 

Minerva Biotecnologica. 2000. Vol. 12, p. 196.

Block coordinate relaxation methods for nonparametric wavelet denoising

S. Sardy; A. G. Bruce; P. Tseng 

Journal of Computational and Graphical Statistics. 2000. Vol. 9, p. 361-379.

Was France's World Cup win pure chance?

D. Kuonen; A. S. A. Röhrl 

Student. 2000. Vol. 3, p. 153-166.

Inference for the poly-Weibull model

A. C. Davison; F. Louzada-Neto 

The Statistician. 2000. Vol. 49, p. 189-196.

A saddlepoint approximation for the collector's problem

D. Kuonen 

The American Statistician. 2000. Vol. 54, p. 165-169.

Local likelihood smoothing of sample extremes

A. C. Davison; N. I. Ramesh 

Journal of the Royal Statistical Society series B. 2000. Vol. 62, p. 191-208.

Wavestrapping time series: Adaptive wavelet-based bootstrapping

D. B. Percival; S. Sardy; A. C. Davison 

Nonlinear and Nonstationary Signal Processing; Cambridge University Press, 2000. p. 442-471.

Parallel processing in statistical computation

A. Röhrl / A. C. Davison (Dir.)  

Lausanne: EPFL, 2000. DOI : 10.5075/epfl-thesis-2273.

Practical small-sample parametric inference

A. R. Brazzale / A. C. Davison (Dir.)  

Lausanne: EPFL, 2000. DOI : 10.5075/epfl-thesis-2230.

1999

Wavelet de-noising for unequally spaced data

S. Sardy; A. G. Bruce; P. Tseng 

Statistics and Computing. 1999. Vol. 9, num. 1, p. 65-75. DOI : 10.1023/A:1008818328241.

Resampling-based variance estimation for labour force surveys

A. J. Canty; A. C. Davison 

The Statistician. 1999. Vol. 48, p. 379-391.

Saddlepoint approximations for distributions of quadratic forms in normal variables

D. Kuonen 

Biometrika. 1999. Vol. 86, num. 4, p. 929-935. DOI : 10.1093/biomet/86.4.929.

The bootstrap: A tutorial

A. C. Davison; H. Friedl; A. Berghold; G. Kauermann 

1999.  p. 10-18.

Two problems in environmental statistics

V. Chavez / A. C. Davison (Dir.)  

Lausanne: EPFL, 1999. DOI : 10.5075/epfl-thesis-2082.

1998

Implementation of saddlepoint approximations in resampling problems

A. J. Canty; A. C. Davison 

Statistics and Computing. 1998. Vol. 9, p. 9-15.

Extreme values

A. C. Davison 

Encyclopedia of Biostatistics; Wiley, 1998. p. 1463-1467.

1997

Bootstrap Methods and Their Application

A. C. Davison; D. V. Hinkley 

Cambridge: Cambridge University Press, 1997.

1996

Some models for discretized series of events

A. C. Davison; N. I. Ramesh 

Journal of the American Statistical Association. 1996. Vol. 91, p. 601-609.

Reliable confidence intervals. Discussion of ``Bootstrap confidence intervals'', by T. J. DiCiccio and B. Efron

A. J. Canty; A. C. Davison; D. V. Hinkley 

Statistical Science. 1996. Vol. 11, p. 214-219.

Implementation of saddlepoint approximations to bootstrap distributions

A. J. Canty; A. C. Davison; L. Billard; N. I. Fisher 

1996.  p. 248-253.